Daniel Codd

Magic Daniel Codd

Exploring the art of automation and AI-powered creativity.

Discover The Magic

Full Interview

Full Interview

Amazing Song

Amazing Song

Speaker Introduction

Speaker Introduction

Interview Highlights

Interview Highlights

Automation Workflows

Lead Management Automation

1
Webhook Trigger
2
HTTP Request to retrieve lead data
3
Function to format lead data
4
Filter to identify qualified leads
5
Email Action to notify sales team
6
Google Sheets node to log lead data
7
Wait node for follow-up time
8
Set Status node to track follow-up
9
SMS Action for immediate outreach
10
Quality Control Check for lead status

Automatically manage leads from initial contact to follow-up tracking. Reduces manual tracking, ensures timely follow-up, and enhances lead data accuracy.

AI Research Assistance Automation

1
Webhook Trigger
2
Google Search API to find relevant research articles
3
Function to extract article summaries
4
JSON node to format data
5
Aggregate node to compile findings
6
Slack Action to send compiled research to the team
7
Wait node for further analysis request
8
HTTP Request to OpenAI for deeper insights
9
Email Action to summarize insights
10
Quality Control Check for accuracy
11
Log results in Google Sheets

Streamlines research by aggregating and analyzing findings, providing insights directly to the team. Saves time in research, enhances collaboration, and ensures centralized documentation of insights.

Feedback Collection Automation

1
Webhook Trigger
2
Form Submission node to receive feedback
3
Function to analyze sentiment of feedback
4
Google Sheets node to store feedback data
5
Filter to categorize feedback type
6
Email Action for automated thank you notes
7
Notify team via Slack of critical feedback
8
Wait node for follow-up survey
9
HTTP Request to send follow-up survey
10
Quality Control Check for response quality
11
Summary report generation in Google Docs

Efficiently collects, analyzes, and responds to customer feedback. Improves customer engagement and reduces manual feedback handling.

Internal Tool Improvement Automation

1
Webhook Trigger
2
Custom API Action to gather tool usage data
3
Function to parse data and identify trends
4
Filter to isolate tools needing improvement
5
Google Sheets node to document required improvements
6
Slack Action to inform relevant team members
7
HTTP Request to gather user suggestions
8
Quality Control Check for data accuracy
9
Documentation generation in Google Docs
10
Status update in project management tool
11
Log results in a central dashboard

Enhances tools based on user feedback and usage trends to improve internal processes. Provides data-driven insights for tool enhancements and improves user satisfaction.